Learning Health System Collaboratory

About the Collaboratory

LHS Collaboratory Workgroup from April

The University of Michigan’s Department of Learning Health Sciences convenes the LHS Collaboratory: a hub for advancing interdisciplinary research and development of learning health systems at the University of Michigan in partnership with the Office of Research, the Institute for Healthcare Policy & Innovation (IHPI), and the Michigan Institute for Clinical and Health Research (MICHR).

Through collaboration, we are strengthening U-M’s opportunities for federal funding along with attracting foundations and donors for additional opportunities.

The LHS Collaboratory’s approach to improving individual and population health will make U-M a leader in the national and international movements to achieve learning health systems at organizational, regional, and national scales.

Ethical, Legal and Social Implications of Learning Health Systems (ELSI) joins the LHS Collaboratory

LHS Collaboratory October Session

In-person session, Wednesday, October 18, 2023 from 11:30 am-1:00 pm

Forum Hall, Palmer Commons

Clinical prediction models aim to predict a person’s risk of an outcome (e.g. complications, mortality) given their observed characteristics (1). Risk predictions are traditionally derived from regression models. Artificial Intelligence, and specifically Machine Learning methods, are gaining interest to develop predictive algorithms. Predictions from classic models or AI algorithms need to be reliable to provide valid support for tasks such as shared decision making and whether a person should initiate a particular treatment.
The aim of this talk is to review recent developments in prediction model development and validation. Illustrations will be provided from different medical applications. Trustworthiness will be discussed in relation to the statistical aspects -such as sample size and the exceptionality of patients-, model uncertainty, and heterogeneity between contexts of practical application.

1. Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. 2nd ed. Springer International Publishing; 2019. (Statistics for Biology and Health). Available from: https://www.springer.com/gp/book/9783030163983

LHS Collaboratory November Session

In-person session, Tuesday, November 21, 2023 from 12:00 pm-1:30 pm ET

Great Lakes Room, Palmer Commons

LHS Collaboratory December Session

In-person session, Tuesday, December 12, 2023 from 12:00 pm-1:30 pm ET

Great Lakes Room, Palmer Commons

LHS Collaboratory January Session

In-person session, Tuesday, January 16, 2024 from 12:00 pm-1:30 pm ET

Great Lakes Room, Palmer Commons

Please check this website for further updates.

For more information, contact: [email protected].

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